{ "config": { "name": "cuda_inference_transformers_token-classification_microsoft/deberta-v3-base", "backend": { "name": "pytorch", "version": "2.2.2+rocm5.7", "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend", "task": "token-classification", "library": "transformers", "model_type": "deberta-v2", "model": "microsoft/deberta-v3-base", "processor": "microsoft/deberta-v3-base", "device": "cuda", "device_ids": "0", "seed": 42, "inter_op_num_threads": null, "intra_op_num_threads": null, "model_kwargs": {}, "processor_kwargs": {}, "no_weights": true, "device_map": null, "torch_dtype": null, "eval_mode": true, "to_bettertransformer": false, "low_cpu_mem_usage": null, "attn_implementation": null, "cache_implementation": null, "autocast_enabled": false, "autocast_dtype": null, "torch_compile": false, "torch_compile_target": "forward", "torch_compile_config": {}, "quantization_scheme": null, "quantization_config": {}, "deepspeed_inference": false, "deepspeed_inference_config": {}, "peft_type": null, "peft_config": {} }, "scenario": { "name": "inference", "_target_": "optimum_benchmark.scenarios.inference.scenario.InferenceScenario", "iterations": 1, "duration": 1, "warmup_runs": 1, "input_shapes": { "batch_size": 1, "num_choices": 2, "sequence_length": 2 }, "new_tokens": null, "memory": true, "latency": true, "energy": false, "forward_kwargs": {}, "generate_kwargs": { "max_new_tokens": 2, "min_new_tokens": 2 }, "call_kwargs": { "num_inference_steps": 2 } }, "launcher": { "name": "process", "_target_": "optimum_benchmark.launchers.process.launcher.ProcessLauncher", "device_isolation": true, "device_isolation_action": "error", "numactl": false, "numactl_kwargs": {}, "start_method": "spawn" }, "environment": { "cpu": " AMD EPYC 7643 48-Core Processor", "cpu_count": 96, "cpu_ram_mb": 1082028.982272, "system": "Linux", "machine": "x86_64", "platform": "Linux-5.15.0-84-generic-x86_64-with-glibc2.35", "processor": "x86_64", "python_version": "3.10.12", "gpu": [ "Advanced Micro Devices, Inc. [AMD/ATI]" ], "gpu_count": 1, "gpu_vram_mb": 68702699520, "optimum_benchmark_version": "0.3.1", "optimum_benchmark_commit": "c8d76f6e24e813974534bb204a76658d503b7b1f", "transformers_version": "4.43.3", "transformers_commit": null, "accelerate_version": "0.33.0", "accelerate_commit": null, "diffusers_version": "0.29.2", "diffusers_commit": null, "optimum_version": null, "optimum_commit": null, "timm_version": "1.0.8", "timm_commit": null, "peft_version": null, "peft_commit": null } }, "report": { "load": { "memory": { "unit": "MB", "max_ram": 892.407808, "max_global_vram": 1059.88096, "max_process_vram": 43922.41152, "max_reserved": 773.849088, "max_allocated": 736.603648 }, "latency": { "unit": "s", "count": 1, "total": 6.70115625, "mean": 6.70115625, "stdev": 0.0, "p50": 6.70115625, "p90": 6.70115625, "p95": 6.70115625, "p99": 6.70115625, "values": [ 6.70115625 ] }, "throughput": null, "energy": null, "efficiency": null }, "forward": { "memory": { "unit": "MB", "max_ram": 1037.094912, "max_global_vram": 1122.816, "max_process_vram": 292274.589696, "max_reserved": 773.849088, "max_allocated": 745.086976 }, "latency": { "unit": "s", "count": 79, "total": 1.0067860603332517, "mean": 0.012744127345990534, "stdev": 0.0007554362802109836, "p50": 0.01253385353088379, "p90": 0.013236474990844726, "p95": 0.013359721946716308, "p99": 0.015086621494293209, "values": [ 0.013685848236083984, 0.013439929008483887, 0.013350810050964355, 0.013246331214904785, 0.013235771179199218, 0.013115131378173828, 0.013061691284179687, 0.01306649112701416, 0.013083291053771973, 0.013300410270690918, 0.013239290237426758, 0.013151129722595216, 0.014106165885925294, 0.013043291091918945, 0.01281257152557373, 0.01275721263885498, 0.012787291526794434, 0.01278441333770752, 0.012883292198181153, 0.012799772262573242, 0.012859453201293945, 0.012848093032836913, 0.01282169246673584, 0.012830012321472168, 0.012898012161254883, 0.012894492149353027, 0.012840091705322266, 0.012909852027893066, 0.012867292404174805, 0.012667134284973144, 0.012357535362243653, 0.012435614585876465, 0.018562782287597657, 0.012373854637145996, 0.012418973922729492, 0.012296575546264649, 0.012257216453552246, 0.01230633544921875, 0.012399614334106445, 0.012357535362243653, 0.01227961540222168, 0.012305375099182128, 0.012323934555053711, 0.012350335121154785, 0.01235721492767334, 0.012470973968505859, 0.012566814422607422, 0.01246329402923584, 0.012356254577636719, 0.01228665542602539, 0.012325055122375488, 0.012446014404296876, 0.01253385353088379, 0.012455933570861817, 0.012473854064941406, 0.012493214607238769, 0.01271129322052002, 0.012836572647094726, 0.012778331756591797, 0.012910971641540528, 0.012791933059692383, 0.012560733795166016, 0.012492894172668457, 0.012585054397583008, 0.012476413726806641, 0.012474173545837403, 0.012392094612121582, 0.012345535278320312, 0.012324095726013184, 0.012367774963378906, 0.01237513542175293, 0.012332895278930663, 0.012353215217590332, 0.01236921501159668, 0.012328095436096191, 0.012337695121765137, 0.012294974327087402, 0.012345375061035157, 0.012360895156860351 ] }, "throughput": { "unit": "samples/s", "value": 78.467514710971 }, "energy": null, "efficiency": null } } }